Data quality issues are posing challenges for various entities, including those working on artificial intelligence projects and businesses relying on data integration. These challenges are reportedly causing setbacks, such as stalled projects and intensified business intelligence challenges. The impact of poor data quality is also being felt in specific sectors, including healthcare and government, where it can lead to errors and doubts about efficacy.